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Record W2414152146 · doi:10.1017/s2398772300001719

Why Sexual Assault in Intimate Relationships Must be Criminalized as Required by International Human Rights Law: A Response to the Symposium Comments

2015· article· en· W2414152146 on OpenAlexaff
Melanie Randall, Vasanthi Venkatesh

Bibliographic record

VenueAJIL Unbound · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsUniversity of WindsorWestern University
Fundersnot available
KeywordsHuman rightsPolitical scienceLawInternational human rights lawAutonomySexual violenceInternational lawCriminal lawCriminologyPublic international lawSociology

Abstract

fetched live from OpenAlex

Ending the marital rape exemption in criminal law is a demand for legal equality and autonomy for women, rights that are enshrined in international human rights law. Drawing on international human rights law as a source of authority for challenging the marital rape exception in criminal law allows feminist and other social justice organizations, within their specific national and local contexts, to seek greater state action and accountability toward ending this form of violence against women and this violation of women’s human rights. In this reply, we challenge the arguments in the symposium that oppose or caution against criminalizing sexual violence in intimate relationships as a necessary legal strategy, and that refute our view that ending the marital rape exemption is required by international human rights law.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.019
metaresearch head score (Gemma)0.042
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.054
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.042
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0010.001
Science and technology studies0.0120.015
Scholarly communication0.0090.011
Open science0.0050.007
Research integrity0.0540.070
Insufficient payload (model declined to judge)0.0060.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.126
GPT teacher head0.378
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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